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From Microstructure Investigations to Multiscale Modeling
Mechanical behaviors of materials are highly influenced by their architectures and/or microstructures. Hence, progress in material science involves understanding and modeling the link between the microstructure and the material behavior at different scales. This book gathers contributions from eminent researchers in the field of computational and experimental material modeling. It presents advanced experimental techniques to acquire the microstructure features together with dedicated numerical and analytical tools to take into account the randomness of the micro-structure.
Full-Field Measurements and Identification in Solid Mechanics
This timely book presents cutting-edge developments by experts in the field on the rapidly developing and scientifically challenging area of full-field measurement techniques used in solid mechanics – including photoelasticity, grid methods, deflectometry, holography, speckle interferometry and digital image correlation. The evaluation of strains and the use of the measurements in subsequent parameter identification techniques to determine material properties are also presented. Since parametric identification techniques require a close coupling of theoretical models and experimental measurements, the book focuses on specific modeling approaches that include finite element model updating, ...
Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications
The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework.
Information Processing and Management of Uncertainty in Knowledge-Based Systems
This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I...
Mechanics of the 21st Century
"This volume ... consists of a book with full texts of invited talks and attached CD-ROM with Extended Summaries of 1225 papers presented during the Congress"--p. x.
Albers, Anni
May contain: Resumes, newspaper articles, magazine articles, invitations to exhibition openings, gallery hand-outs, check-lists of exhibitions, advertisements, obituaries, 35 mm. slides of the artist's work.
Belief Functions: Theory and Applications
This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Belief Functions, BELIEF 2016, held in Prague, Czech Republic, in September 2016. The 25 revised full papers presented in this book were carefully selected and reviewed from 33 submissions. The papers describe recent developments of theoretical issues and applications in various areas such as combination rules; conflict management; generalized information theory; image processing; material sciences; navigation.
Vers une stratégie d'identification en dynamique rapide pour des données incertaines
La simulation dynamique des structures composites jusqu'à rupture pose des difficultés, notamment numériques. Dans ce cadre, les mésomodèles d'endommagement ont été développés au LMT-Cachan, tant en statique qu'en dynamique, par l'introduction de lois à effet retard pour la description objective de la rupture.Ce travail discute l'identification de ces paramètres de retard, soulevant ainsi le problème de la prise en compte de conditions expérimentales fortement incertaines.Cette étude propose une méthode d'identification inverse à partir d'essais en dynamique transitoire, basée sur le principe d'erreur en relation de comportement. Elle a été développée, dans un premier temps, en élasticité. Cela amène à résoudre des problèmes dynamiques non standards demandant des méthodes de résolution adaptées. L'étude a permis de mettre en avant les points clés de la robustesse de la méthode face aux incertitudes de mesure.
Classical Studies
Bibliografi om klassisk filologi
